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These functions can be used for generating random MIC values and disk diffusion diameters, for AMR data analysis practice. By providing a microorganism and antimicrobial drug, the generated results will reflect reality as much as possible.

Usage

random_mic(size = NULL, mo = NULL, ab = NULL, ...)

random_disk(size = NULL, mo = NULL, ab = NULL, ...)

random_sir(size = NULL, prob_SIR = c(0.33, 0.33, 0.33), ...)

Arguments

size

Desired size of the returned vector. If used in a data.frame call or dplyr verb, will get the current (group) size if left blank.

mo

Any character that can be coerced to a valid microorganism code with as.mo().

ab

Any character that can be coerced to a valid antimicrobial drug code with as.ab().

...

Ignored, only in place to allow future extensions.

prob_SIR

A vector of length 3: the probabilities for "S" (1st value), "I" (2nd value) and "R" (3rd value).

Value

class mic for random_mic() (see as.mic()) and class disk for random_disk() (see as.disk())

Details

The base R function sample() is used for generating values.

Generated values are based on the EUCAST 2025 guideline as implemented in the clinical_breakpoints data set. To create specific generated values per bug or drug, set the mo and/or ab argument.

Examples

random_mic(25)
#> Class 'mic'
#>  [1] <=0.001 8       0.002   256     256     256     0.125   0.25    0.005  
#> [10] 1       0.01    32      32      256     0.01    32      8       0.025  
#> [19] 0.0625  0.5     0.0625  0.5     0.01    0.125   0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 48 46 26 46 17 46 15 50 20 13 48 44  6 47 26 15 12 20 11 45  8 41 45 14 37
random_sir(25)
#> Class 'sir'
#>  [1] I R S R I S S I S R S R I R S S S S I R S S S S R

# \donttest{
# make the random generation more realistic by setting a bug and/or drug:
random_mic(25, "Klebsiella pneumoniae") # range 0.0625-64
#> Class 'mic'
#>  [1] 2       0.25    0.002   0.025   0.01    0.0625  0.25    0.01    0.0625 
#> [10] <=0.001 0.01    0.125   8       0.002   0.0625  0.002   >=256   >=256  
#> [19] 0.5     >=256   1       0.125   64      64      0.25   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2     <=0.5 8     8     <=0.5 2     2     8     2     8     8     4    
#> [13] 1     <=0.5 >=16  1     4     2     1     <=0.5 >=16  4     4     4    
#> [25] 8    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 8       0.5     2       0.125   <=0.025 0.25    0.0625  2       16     
#> [10] 0.25    0.5     16      0.5     1       8       <=0.025 2       <=0.025
#> [19] 0.125   8       1       0.0625  2       1       4      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 39 19 39 20 37 11 18 10 46 46  9 40 46 24 30 31 13 12 42 50 43 12 34 22 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 11 17 12 11 16 13 14 15 13 17 15 11 13 16 15 14 13 12 16 14 11 12 14 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 19 20 27 27 20 21 16 23 20 22 17 27 20 23 22 22 16 16 24 24 19 25 17 19
# }